[Hungarian professional periodicals started quite late in European context. Their publish­ing, editing and editorial philosophy were equally influenced by specific historical and political situations. Certain breaking points of history resulted in termina­tion of professional journals (War of In­de­pendence 1848-1849, First and Se­cond World Wars), however there were pe­riods, which instigated the progress of sciences and founding of new scientific journals. Both trends were apparent in years after the fall of former Hungarian regime in 1990. The structure of book and journal publishing has changed substantially, some publishers fell “victim” others started successfully as well. The latters include the then-established publishing house Literatura Medica and its own scientific journal, Lege Artis Me­di­cinae (according to its subtitle: New Hun­garian Medical Herald) issued first in 1990. Its appearance enhanced significantly the medical press market. Its scientific publications compete with articles of the well-established domestic medical journals however its philosophy set brand-new trends on the market. Concerning the medical community, it takes on its problems and provides a forum for them. These problems are emerging questions in health care, economy and prevention, in close interrelation with system of public health institutions, infrastructure and situation of those providing individual health services. In all of them, Lege Artis Medicinae follows consequently the ideas of traditional social medicine.]

[Three decades ago, LAM was launched with the goal of providing scientific information about medicine and its frontiers. From the very beginning, LAM has also concerned a special subject area while connecting medicine with the world of art. In the palette of medical articles, it remained a special feature to this day. The analysis of the history of LAM to date was performed using internationally accepted publication guidelines and scientific databases as a pledge of objectivity. We examined the practice of LAM if it meets the main criteria, the professional expectations of our days, when publishing contents of the traditional printed edition and its electronic version. We explored the visibility of articles in the largest bibliographic and scientific metric databases, and reviewed the LAM's place among the Hun­ga­rian professional journals. Our results show that in recent years LAM has gained international reputation des­pite publishing in Hungarian spoken by a few people. This is due to articles with foreign co-authors as well as references to LAM in articles written exclusively by foreign researchers. The journal is of course full readable in the Hungarian bibliographic databases, and its popularity is among the leading ones. The great virtue of the journal is the wide spectrum of the authors' affiliation, with which they cover almost completely the Hungarian health care institutional sys­tem. The special feature of its columns is enhanced by the publication of writings on art, which may increase Hungarian and foreign interest like that of medical articles.]

[What has Go to do with making clinical decisions? One of the greatest intellectual challenges of bedside medicine is making decisions under uncertainty. Besides the psychological traps of traditionally intuitive and heuristic medical decision making, lack of information, scarce resources and characteristics of doctor-patient relationship contribute equally to this uncertainty. Formal, mathematical model based analysis of decisions used widely in developing clinical guidelines and in health technology assessment provides a good tool in theoretical terms to avoid pitfalls of intuitive decision making. Nevertheless it can be hardly used in individual situations and most physicians dislike it as well. This method, however, has its own limitations, especially while tailoring individual decisions, under inclusion of potential lack of input data used for calculations, or its large imprecision, and the low capability of the current mathematical models to represent the full complexity and variability of processes in complex systems. Nevertheless, clinical decision support systems can be helpful in the individual decision making of physicians if they are well integrated in the health information systems, and do not break down the physicians’ autonomy of making decisions. Classical decision support systems are knowledge based and rely on system of rules and problem specific algorithms. They are utilized widely from health administration to image processing. The current information revolution created the so-called artificial intelligence by machine learning methods, i.e. machines can learn indeed. This new generation of artificial intelligence is not based on particular system of rules but on neuronal networks teaching themselves by huge databases and general learning algorithms. This type of artificial intelligence outperforms humans already in certain fields like chess, Go, or aerial combat. Its development is full of challenges and threats, while it presents a technological breakthrough, which cannot be stopped and will transform our world. Its development and application has already started also in the healthcare. Health professionals must participate in this development to steer it into the right direction. Lee Sedol, 18-times Go world champion retired three years after his historical defeat from AlphaGo artificial intelligence, be­cause “Even if I become the No. 1, there is an entity that cannot be defeated”. It is our great luck that we do not need to compete or defeat it, we must ensure instead that it would be safe and trustworthy, and in collaboration with humans this entity would make healthcare more effective and efficient. ]

[Aim of our research was to assess the knowledge of nurses working in surgical departments about surgical wound treatment, phases of wound healing, its complications, and intelligent bandages. Our quantitative, cross-sectional, descriptive examination was carried out in a hospital in Transdanubia with non-random, expert sampling and a self-made questionnaire. Our target group was nurses working in the surgical departments of the hospital (N=85). During the data analysis, the descriptive statistical methods of MS Office Excel 2016 software were calculated: mean, standard deviation, frequency. A χ2-test was used to examine the relationship between variables (p <0.05). Knowledge of bandages was not affected by educational attainment (p>0.05). Those who perform wound care in their daily work have more knowledge about the wound treatment sequence of the wounds that are primarily healing, as well as about intelligent dressings (p<0.1). For the classes, there was a significance for the recognition of complicated wounds, knowledge of the benefit of the absorbable suture and the use of analgesic procedures (p<0.001). In the interests of patient safety, nurses’ knowledge of wound treatment needs to be continuously improved. It is necessary to provide an accessible source of information and further training.]